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Education

JSTOR Scraper

Extract academic journal archives, research article metadata, collection listings, and publisher indexes from JSTOR. Powered by spider-browser .

Get Started Documentation
jstor.org target
99.5% success rate
~4ms latency
Quick Start

Extract data in minutes

jstor-scraper.ts
import { SpiderBrowser } from "spider-browser";

const spider = new SpiderBrowser({
  apiKey: process.env.SPIDER_API_KEY!,
});

await spider.connect();
const page = spider.page!;
await page.goto("https://www.jstor.org/action/doBasicSearch?Query=artificial+intelligence");

const data = await page.evaluate(`(() => {
  const articles = [];
  document.querySelectorAll(".search-result-item").forEach(el => {
    const title = el.querySelector(".title a")?.textContent?.trim();
    const authors = el.querySelector(".author")?.textContent?.trim();
    const journal = el.querySelector(".journal-title")?.textContent?.trim();
    const date = el.querySelector(".pub-date")?.textContent?.trim();
    const abstract = el.querySelector(".description")?.textContent?.trim();
    if (title) articles.push({ title, authors, journal, date, abstract });
  });
  return JSON.stringify({ total: articles.length, articles: articles.slice(0, 10) });
})()`);

console.log(JSON.parse(data));
await spider.close();
✓ ready to run | spider-browser | TypeScript
Fetch API

Structured data endpoint

Extract structured JSON from jstor.org with a single POST request. AI-configured selectors, cached for fast repeat calls.

POST /fetch/jstor.org/
Article titleAuthorsJournal namePublication dateAbstractDOI
curl
curl -X POST https://api.spider.cloud/fetch/jstor.org/ \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"return_format": "json"}'
Python
import requests

resp = requests.post(
    "https://api.spider.cloud/fetch/jstor.org/",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json",
    },
    json={"return_format": "json"},
)
print(resp.json())
Node.js
const resp = await fetch("https://api.spider.cloud/fetch/jstor.org/", {
  method: "POST",
  headers: {
    "Authorization": "Bearer YOUR_API_KEY",
    "Content-Type": "application/json",
  },
  body: JSON.stringify({ return_format: "json" }),
});
const data = await resp.json();
console.log(data);
Extraction

Data you can extract

Article titleAuthorsJournal namePublication dateAbstractDOIPage range
Listings

Course catalog data

Extract courses, instructors, ratings, and pricing from jstor.org.

Rendering

Dynamic catalogs

Handle filtered search results, pagination, and lazy-loaded course cards.

Scale

Platform coverage

Scrape entire course catalogs across categories and skill levels.

Related

More Education scrapers

Start scraping jstor.org

Get your API key and start extracting data in minutes.